Conferences  >  Medicine & Healthcare  >  Clinical Data Management, e-Health

Semmelweis University Institute of Biostatistics and Network Science

Join us for the BIOMEDICAL DATA SCIENCE Summer School & Conference – two interconnected events where students receive intensive training in health data science (July 28 – August 5), followed by a scientific conference to share cutting-edge work in data-intensive biological and medical research (August 6 - 8).

Institute of Biostatistics and Network Science;     Email: biostat@semmelweis.hu

Machine learning and AI applications in biomedical research Multi-omics data integration and analysis Medical imaging and computer vision in healthcare Natural language processing for clinical and biomedical texts Explainable AI and trustworthy machine learning in medicine Computational modeling of biological systems Wearable and sensor-based health data analytics Privacy-preserving techniques for biomedical data Digital health and personalized medicine Drug discovery and biomarker identification through data science Network science tools in biomedical research Causal inference in biomedical research Biostatistical approaches for biomedical data analysis

Scientific Computing and Data Science,    Algorithms and Data Structures

Semmelweis University Institute of Biostatistics and Network Science

Join us for the BIOMEDICAL DATA SCIENCE Summer School & Conference – two interconnected events where students receive intensive training in health data science (July 28 – August 5), followed by a scientific conference to share cutting-edge work in data-intensive biological and medical research (August 6 - 8).

Email: biostat@semmelweis.hu

Machine learning and AI applications in biomedical research Multi-omics data integration and analysis Medical imaging and computer vision in healthcare Natural language processing for clinical and biomedical texts Explainable AI and trustworthy machine learning in medicine Computational modeling of biological systems Wearable and sensor-based health data analytics Privacy-preserving techniques for biomedical data Digital health and personalized medicine Drug discovery and biomarker identification through data science Network science tools in biomedical research Causal inference in biomedical research Biostatistical approaches for biomedical data analysis

Scientific Computing and Data Science,    Algorithms and Data Structures

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar, situated at the intersection of computer science, medical research, and law, will explore the state of the art and the future of computational approaches to address these emerging challenges

SEIT Lab, Department of Computer Science, University of Cyprus

Phone: [+35722892693];     Email: george@ucy.ac.cy

• Active and Healthy Ageing System • Analytics and solutions in Public Health • Artificial intelligence in healthcare • Big Data Analytics in Healthcare • Bioinformatics • Biomarker Discovery and Drug Design • Biomedical Signal and Image Processing and Machine Vision • Cognitive Computing in Healthcare • Computer Supported Cooperative Work in Healthcare (CSCW) • Databases and blockchain in Medicine or Healthcare • Data Analysis and Knowledge Discovery in Medicine or Healthcare • Decision Support and Recommendation Systems in Medicine or Healthcare • Digital Twins / Personalized AI Models • e-Health • Ethics in the application of ICT to biomedicine • Explainable AI for Decision Support • Generative AI and Foundational Models for Biomedicine • Human-Computer Interaction (HCI) in Healthcare • Knowledge Representation in Medicine or Healthcare • m-Health • Medical education using ICT • Medical Robotics, Intelligent Medical Devices, and Smart Technologies • Metaverse, Augmented and Intelligent Reality • Multimodality Data Analysis • Network and Telemedicine Systems • Pervasive Computing for Wearables • Privacy and security in healthcare • Radiomics and Radiogenomics • Serious Games for Healthcare • Software Systems in Medicine • Technology in Clinical and Healthcare Services Research • Web-Based Delivery of Medical Information